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DEDelivery Hero

Director of Data Science, Deep Learning(m/w/x)

Berlin
Vollzeitmit HomeofficeManagement
AI/ML
Data Science

Architecting transformer-based deep learning models for a global delivery platform. 8+ years leadership experience scaling AI teams required. 27 days holiday, €1000 educational budget.

Anforderungen

  • At least eight years of professional leadership experience
  • Experience scaling high-performing data science teams
  • Experience scaling high-performing deep learning teams
  • Proven track record applying advanced AI modelling
  • Experience in AdTech, digital marketplaces, or computational economics
  • Master's degree or higher in a quantitative field
  • Strong technical foundation as previous individual contributor
  • Expertise in Python
  • Expertise in SQL
  • Hands-on mastery of deep learning frameworks
  • Hands-on mastery of Keras, TensorFlow or PyTorch
  • Mastery of Pandas, PySpark, and NumPy
  • Expertise in managing cloud-scale deep learning solutions
  • Expertise in modelling cloud-scale deep learning solutions
  • Expertise in deploying cloud-scale deep learning solutions
  • Experience with high-volume, real-time data in cloud environments
  • Exceptional ability to communicate complex deep learning concepts
  • Ability to communicate business implications clearly
  • Ability to communicate to technical teams
  • Ability to communicate to senior leadership

Aufgaben

  • Architect state-of-the-art deep learning models
  • Influence AI strategy
  • Develop cutting-edge methodologies
  • Design and implement advanced deep learning architectures
  • Implement transformers and sequence-based attention-driven AI models
  • Implement generative ranking approaches
  • Implement long-term interest networks for user personalization
  • Establish comprehensive evaluation frameworks for deep learning models
  • Measure internal model-centric metrics (e.g., NCE, ROCAUC, PRAUC)
  • Measure business metrics during live A/B testing
  • Collaborate and align with engineering teams
  • Collaborate and align with commercial teams
  • Collaborate and align with product teams
  • Develop scalable data pipelines
  • Develop scalable feature pipelines
  • Maintain scalable data pipelines
  • Maintain scalable feature pipelines
  • Ensure efficient training of deep learning models
  • Ensure efficient deployment of deep learning models
  • Ensure efficient monitoring of deep learning models
  • Ensure ongoing performance of deep learning models
  • Stay knowledgeable on deep learning trends
  • Stay knowledgeable on machine learning engineering trends
  • Drive team adoption of cutting-edge methodologies
  • Collaborate on defining the technical roadmap
  • Leverage advanced data processing tools (e.g., MonteCarlo, dbt)

Berufserfahrung

  • 8 Jahre

Ausbildung

  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • Python
  • SQL
  • Keras
  • TensorFlow
  • PyTorch
  • Pandas
  • PySpark
  • NumPy

Benefits

Flexibles Arbeiten

  • Hybrid working model

Mehr Urlaubstage

  • 27 days holiday
  • Extra holiday day on 2nd and 3rd year of service

Sonstige Zulagen

  • 1000 € Educational Budget
  • Digital Meal Vouchers
  • Food Vouchers

Weiterbildungsangebote

  • Language Courses
  • Udemy Business platform access

Familienfreundlichkeit

  • Parental Support

Gesundheits- & Fitnessangebote

  • Health Checkups
  • Gym & Bicycle Subsidy

Mentale Gesundheitsförderung

  • Meditation

Attraktive Vergütung

  • Employee Share Purchase Plan

Workation & Sabbatical

  • Sabbatical Bank

Öffi Tickets

  • Public Transportation Ticket Discount

Sonstige Vorteile

  • Life & Accident Insurance

Betriebliche Altersvorsorge

  • Corporate Pension Plan

Mitarbeiterrabatte

  • Corporate Discounts
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Delivery Hero erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

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